Results 141 to 150 of about 15,154 (214)

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, Volume 45, Issue 4, Page 1633-1651, July 2026.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Ordered Median Traveling Salesman Problem

Networks, Volume 88, Issue 1, Page 59-84, July 2026.
ABSTRACT This paper introduces a novel combinatorial optimization problem with ordering constraints, termed the Ordered Median Traveling Salesman Problem (OMTSP). The OMTSP integrates key elements from both the classic Traveling Salesman Problem (TSP) and the Ordered Median Location Problem.
Ivana Ljubić, Alfredo Marín, Justo Puerto, Francisco Temprano   +3 more
wiley   +1 more source

What if the expected is not the most likely outcome? Four examples giving pause for thought and reconsideration

Economica, Volume 93, Issue 371, Page 839-862, July 2026.
Abstract The foundational nature of expectations‐based theories and the prominence of symmetric unimodal stochastic assumptions in economic research render the expected outcome the go to locational focus throughout its many realms. When symmetric unimodality prevails, expected and most likely outcomes are identical; however, when it does not, they are ...
Gordon Anderson
wiley   +1 more source

Defining the geographical level of competition: a taxonomy of industry tradability

Economica, Volume 93, Issue 371, Page 962-991, July 2026.
Abstract The paper develops a taxonomy of industry tradability to define the geographical level at which competition takes place. First, it creates a novel dataset that combines production and international trade data for both goods and services industries, defined at a detailed (3‐digit) level of industry aggregation for 15 European countries.
Sara Calligaris, Chiara Criscuolo, Josh De Lyon, Andrea Greppi, Oliviero Pallanch   +4 more
wiley   +1 more source

Land Reforms in Cuba: First Empirical Assessment on Productivity Using Crop‐Level Panel Data

Economics of Transition and Institutional Change, Volume 34, Issue 3, Page 573-585, July 2026.
ABSTRACT Land reforms implemented in Cuba since 2008 have aimed to increase agricultural production by distributing state‐owned idle lands with land‐use rights. The reforms restricted farmers with the rights from cultivating perennial and capital‐intensive crops.
Yoshihiko Hashiguchi, Yoshimichi Murakami   +1 more
wiley   +1 more source

Measuring the standard of living in shared‐care families—Challenges and insights

International Journal of Social Welfare, Volume 35, Issue 3, July 2026.
Abstract This methodological article aims to acquire a better understanding of how current research in the traditional income distribution literature considers shared‐care families and what kind of implications these approaches pose for measuring the economic well‐being of children living in two homes. Second, it provides insights on how to measure the
Mikko Niemelä, Mia Hakovirta, Markus Jäntti, Eija Lindroos, Mari Haapanen   +4 more
wiley   +1 more source

Inequality measures of the generalized gamma distribution with a practicable application tool. [PDF]

PLoS One
Altun E, Gezer F, Alqifari HN.
europepmc   +1 more source

The Development and Validation of Models of Risk for Behaviours That Challenge in Children With Developmental Disabilities: A Novel Machine Learning Approach

Journal of Intellectual Disability Research, Volume 70, Issue 7, Page 700-708, July 2026.
ABSTRACT Background Children with developmental disabilities show a high prevalence of behaviours that challenge (BtC). Thus, harnessing known risk markers to target early intervention to children at the greatest risk of BtC is essential. In this study, machine learning techniques were used to develop prediction models of risk (no, low and high ...
Laura Groves, Guy Davies, Chris Oliver, Debbie Allen, Charlie Bamford, Louise Bell, Chloe Brown, Vivian Cooper, Louise Daniel, Jo Garstang, Chris Jones, Joseph P. McCleery, Ashley Liew, John Rose, Doug Simkiss, Catherine Steenfeldt‐Kristensen, Alice Welham, Caroline Richards   +17 more
wiley   +1 more source

Regional correlation study of obstetrician maldistribution and its impact on pregnancy loss outcomes in Japan amid declining fertility. [PDF]

BMJ Public Health
Kuriki K, Nakatani E, Sato Y.
europepmc   +1 more source

When Authoritarian Regimes Provide Public Goods: Motivation and Capacity

Social Science Quarterly, Volume 107, Issue 4, July 2026.
ABSTRACT Objective This study investigates the conditions under which authoritarian regimes increase public goods provision. The research posits that authoritarian regimes are more likely to provide public goods when they possess both the motivation, stemming from the adoption of multiparty elections, and the capacity, which includes extractive ...
Da Sul Kim
wiley   +1 more source